Artificial Intelligence and Machine Learning Approach for Development and Discovery of Drug

Artificial intelligence (AI) is the combination of human brain power, machine, and computer techniques. In the healthcare and pharmaceutical industries, AI has been used in a variety of ways, with an emphasis on research, wearables, drug discovery, and virtual assistants. It also helps in maintaining patient data, regular monitoring of health issues, and diagnosis, all of which contribute to a better lifestyle and mental health. AI is a blessing for the pharmaceutical industry in terms of drug discovery, identification, validation, and improving the R&D efficiency in analyzing biomedical information. In the drug development process, it contributes to the initial steps of research by predicting 3D structural protein with effective receptor binding or targeted protein. Various applications are available for estimating possible drug interactions like Chem Tapper, SEA, etc. Similarly, instead of preliminary studies followed by a clinical trial, several web applications are used to identify the toxicity of new moieties while saving 212money and time. Furthermore, several AI tools are available to use, including DeepChem, DeepTox, organic PotentialNet, and Hit Dexter. This chapter focuses on AI-assisted platforms and tools that are changing the way drugs are discovered and bringing innovation to healthcare facilities in the future.